Angielski
This is the second volume of Morgan Kaufmann's "GPU Computing Gems", offering an all-new set of insights, ideas, and practical "hands-on" skills from researchers and developers worldwide. Each chapter gives you a window into the work being performed across a variety of application domains, and the opportunity to witness the impact of parallel GPU computing on the efficiency of scientific research. "GPU Computing Gems: Jade Edition" showcases the latest research solutions with GPGPU and CUDA, including: Improving memory access patterns for cellular automata using CUDA; Large-scale gas turbine simulations on GPU clusters; Identifying and mitigating credit risk using large-scale economic capital simulations; GPU-powered MATLAB acceleration with Jacket; Biologically-inspired machine vision; An efficient CUDA algorithm for the maximum network flow problem; and, 30 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any industry. "GPU Computing Gems: Jade Edition" contains 100 per cent new material covering a variety of application domains: algorithms and data structures, engineering, interactive physics for games, computational finance, and programming tools. This second volume of GPU Computing Gems offers 100 per cent new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, green computing, and more. It covers new tools and frameworks for productive GPU computing application development and offers immediate benefit to researchers developing improved programming environments for GPUs. There are even more hands-on, proven techniques demonstrating how general purpose GPU computing is changing scientific research. It distills the best practices of the community of CUDA programmers; each chapter provides insights and ideas as well as 'hands on' skills applicable to a variety of fields.
